Manager, Analytical AI Forecasting and Predictive Solutions

Working with Us

Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .

Summary:

This role develops, implements, and supports advanced analytical, machine learning, and forecasting solutions across Forecasting applications, with a primary focus on Commercial Demand. The Manager partners closely with senior team members and cross‑functional stakeholders to execute against defined forecasting strategies, translating business requirements into high‑quality analytical solutions that improve planning, insight generation, and decision‑making. This role emphasizes hands‑on delivery, technical depth, and cross‑functional collaboration.

Key Responsibilities and Major Duties:

Contribution to Analytical AI Community:

Contribute as part of a collaborative team of data scientists, forecasting SMEs, and machine learning practitioners.

Support the adoption of advanced forecasting approaches by demonstrating analytical rigor, curiosity, and continuous improvement.

Actively contribute ideas and insights that improve forecasting processes, tools, and methodologies.

Development, implementation, maintenance, and analysis of AAI Forecasting Solutions:

Develop and maintain forecasting models using statistical, machine learning, and AI techniques under established frameworks and standards.

Perform analyses on large datasets to identify trends, patterns, and drivers that inform forecasting outputs.

Partner with Finance, Commercial, Market Access, and Analytics teams to translate business questions into analytical and forecasting solutions.

Monitor model performance and support continuous improvements in forecast accuracy and reliability.

Clearly communicate forecasting results, assumptions, and insights to both technical and non‑technical stakeholders.

Support experimentation efforts to validate model assumptions and enhance forecasting performance.

Maintain documentation for models, processes, and analytical workflows.

Execution and Best Practices Support:

Apply established best practices in forecasting, data science, and machine learning.

Stay informed on evolving analytical and forecasting techniques and support the adoption of relevant advancements within defined use cases.

Contribute to the scaling of standardized tools, templates, and processes across forecasting use cases.

Cross-Functional Collaboration:

Collaborate effectively with analytics peers and business stakeholders to support forecasting deliverables.

Participate in the preparation, presentation, and discussion of forecasting outputs with cross‑functional partners.

Support change adoption by explaining analytical approaches and building trust in models and results.

Performance Monitoring and Impact:

Support performance evaluation of forecasting solutions by contributing insights on accuracy, usability, and business impact.

Help identify opportunities for incremental improvements across deployed models and analytics outputs.

Qualifications/Degree/Certification/Licensure:

Educational Background: BA/BS required (quantitative area of study preferred). MBA or other graduate degree preferred.

Technical Proficiency: Proficiency in Python/R, SQL, Tableau, and MS Office Suite. Experience with Git and cloud-based environments (AWS, Azure, etc.) and/or experience in commercial forecasting is preferred.

Communication Skills: Excellent communication and presentation skills, with a proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders.

Experience: 2-3 years of hands-on experience in advanced analytics and data science. Hands-on experience with pharmaceutical forecasting is preferred.

Cross-Functional Collaboration: Proven experience in operating large, complex projects with multi-functional team members.

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Compensation Overview:

Princeton - NJ - US: $95,970 - $116,287 


The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.

Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.

Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:

Health Coverage: Medical, pharmacy, dental, and vision care.

Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).

Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.

​ Work-life benefits include:

Paid Time Off

US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)

Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays

Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.

All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

*Eligibility Disclosure: T he summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.

Uniquely Interesting Work, Life-changing Careers

With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information:  https://careers.bms.com/california-residents/

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection .

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com . Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.

R1605344 : Manager, Analytical AI Forecasting and Predictive Solutions